Spatially explicit analysis of estuarine habitat for juvenile winter flounder: combining generalized additive models and geographic information systems

Citation
Aw. Stoner et al., Spatially explicit analysis of estuarine habitat for juvenile winter flounder: combining generalized additive models and geographic information systems, MAR ECOL-PR, 213, 2001, pp. 253-271
Citations number
81
Categorie Soggetti
Aquatic Sciences
Journal title
MARINE ECOLOGY-PROGRESS SERIES
ISSN journal
01718630 → ACNP
Volume
213
Year of publication
2001
Pages
253 - 271
Database
ISI
SICI code
0171-8630(2001)213:<253:SEAOEH>2.0.ZU;2-C
Abstract
Quasisynoptic seasonal beam trawl surveys for age-0 winter flounder Pseudop leuronectes americanus were conducted in the Navesink River/Sandy Hook Bay estuarine system (NSHES), New Jersey, from 1996 to 1998, to develop spatial ly explicit models of habitat association. Relationships between environmen tal parameters and fish distribution were distinctly nonlinear and multivar iate. Logistic generalized additive models (GAMs) revealed that the distrib ution of newly settled flounder (< 25 mm total length) in spring collection s was associated with low temperature and high sediment organic content, pl acing them in deep, depositional environments. Fish 25 to 55 mm total lengt h were associated with high sediment organics, shallow depth (<3 m), and sa linity near 20 ppt. The largest age-0 fish (56 to 138 mm) were associated w ith shallow depths (< 2 m), temperature near 22 degreesC, and presence of m acroalgae. Abundance of prey organisms contributed significantly to the GAM for fish 25 to 55 mm total length, but not for fish > 55 mm. Independent t est collections and environmental measurements made at 12 new sites in NSHE S during 1999 showed that the GAMs had good predictive capability for juven ile flounder, and new GAMs developed for the test set demonstrated the robu stness of the original models. Maps for the probability of capturing fish o f particular sizes were produced by integrating GAMs with maps of environme ntal data in a geographic information system (GIS). These plots revealed 2 important centers of settlement in the system, probably related to hydrogra phic conditions, and the fact that nursery locations shift rapidly with fis h size during the first year of life. It was also apparent that nursery hab itats are dynamic-expanding, contracting, and shifting position with change s in key environmental variables.